Claims:CLAIMS:
I / We Claim:
1. A dynamic system for playing media content, comprising:
at least a visual capturing means configured to capture plurality of images of viewers in public locations;
a computing board configured to assess various attributes of viewers continuously or periodically from said captured plurality of images while playing a media content, generate relevance factor and select a relevant media content from a stack of media contents to play or to continue previous media content which is being played;
a media agent interface means configured to allow media agents to upload media campaign data with target metrics labeled with respective media content along with target locations;
a media content server configured to allocate said stack of media contents for each of said computing board from said media campaign data uploaded that fall into said target locations, compute assessment of various attributes of viewers based on requirement and provide aggregate result of the media campaign to said media agent; and
a media content displaying means configured to play the media content provided by said computing board.
2. The dynamic system for playing media content as claimed in claim 1, wherein said at least a visual capturing means is either a camera attached to the computing board or a security camera or a surveillance camera present at the target location or a combination thereof.
3. The dynamic system for playing media content as claimed in claim 1, wherein said computing board aids either to continue to play the media content or to switch to best relevant media content at public locations based on assessment carried out using artificial intelligence.
4. The dynamic system for playing media content as claimed in claim 1, wherein said media campaign data with target metrics include media related to either facial feature based targeting or content based targeting and thereof.
5. The dynamic system for playing media content as claimed in claim 1, wherein said various attributes of viewers include biometric information such as gender, age, gaze, emotion, ethnicity and thereof.
6. The dynamic system for playing media content as claimed in claim 1, wherein said aggregate result of the media campaign comprises of target group’s interaction rate, average engagement time, emotional response at particular frames of media content video, audience crowd analytics, and thereof.
7. The dynamic system for playing media content as claimed in claim 1, wherein said media agent interface means is either a web application or a dashboard or a mobile application or the like.
8. The dynamic system for playing media content as claimed in claim 1, wherein said media content displaying means plays the media content either by connecting to the existing display in public place or display provided along with the computing board.
9. The dynamic system for playing media content as claimed in claim 1, wherein said media content server sometimes compute assessment of various attributes of viewers using high-end hardware and then transfers the data to server base to compute the relevance factor.
10. A dynamic method for selectively playing media content, comprising the following steps of:
capturing plurality of images of viewers in public locations while playing a media content through a media content displaying means;
assessing various attributes of viewers continuously or periodically from said captured plurality of images by the computing board or by the media content server based on requirement;
calculating a relevance factor based on the assessed attributes of viewers;
selecting a best relevant media content from a stack of media contents to switch the current playing media content, if the calculated relevance rate is too less;
continuing the current playing media content to complete, if the media content has a better relevance rate; and
providing aggregate result of the media campaign to the media agent. , Description:DESCRIPTION:
Field of the invention:
[0001] The present disclosure generally relates to the field of networked advertising systems, and more particularly relates to a dynamic out-of-home advertising system and method for dynamically displaying advertisements at public locations based on interaction rate using artificial intelligence that automatically recognizes preset attributes of viewers using visual tracking, analyzes and thereby continues display of a particular advertisement or switches to a new advertisement which is relevant to the recognized viewers attributes.
Background of the invention:
[0002] Advertising is a marketing tactic, involving paying for space to promote a product, a service, or a cause. The actual promotional messages are called advertisements, or ads for short. The goal of advertising is to reach people most likely to be willing to pay for a company's products or services and entice them to buy.

[0003] While various forms of online advertising have been used for several years, most types of conventional online advertising offer only limited relevance to consumers. The relevance technology behind traditional graphical advertisements, e.g. such as for banner ads, has changed little in the last decade.

[0004] Search-engine ads such as those supplied by current search engine entities are typically more relevant than graphical ads but are often less relevant than the search results provided by the associated search engines themselves.

[0005] Existing systems merely use an analytics platform in which the results after displaying the advertisements are random and are not smart because the results are intended to provide statistics which thereby increase interaction and relevance where the system analyzes viewing crowd and displays only the most relevant advertisements. And the existing systems are not consumer-friendly as they are more focused on publishers but not advertisers.

[0006] Conventionally, a system and method for advertising on mobile and stationary platforms are developed to obtain and communicate data related to a viewing session of a particular advertisement. A server is configured to receive, identify the human face data associated with a particular person to extract a facial feature including a gaze factor from the face, and thereby process the facial feature and gaze factor into metrics to be delivered to an advertiser of the particular ad. But, the conventional systems do not have the ability to dynamically display or switch advertisements at public locations based on artificial intelligence which automatically recognizes preset attributes of viewers such as gender, age, gaze, emotion and facial features. Also, such systems do not have the ability to capture the details continuously using nearby capturing devices such as security or surveillance cameras that could be connected to the system.

[0007] Therefore, there is a need for a dynamic out-of-home advertising system and method for dynamically displaying or switching advertisements at public locations based on artificial intelligence. Such a system must have the ability to automatically recognize preset attributes of viewers using visual tracking, analyze and thereby continue display of a particular advertisement or switch to a new advertisement which is relevant to the recognized viewers attributes. There is a need for a system which dynamically switches the advertisements when requisite users are not interacting with the advertisement. There is a need for a system that increases revenue by displaying computer vision based content matching advertisements without interrupting the contents.

Objectives of the invention:
[0008] The primary objective of the invention is to provide a dynamic out-of-home advertising system and method for dynamically switching the advertisement or continuing playing of the current advertisement at public locations based on interaction rate or relevant factor computed using artificial intelligence.

[0009] Another objective of the invention is to automatically recognize preset attributes of viewers such as gender, age, gaze, emotion and facial features using visual tracking while playing an advertisement, analyze and thereby continue display of the particular advertisement or switches to a new advertisement which is relevant to the recognized viewers attributes.

[0010] Further objective of the invention is to generate relevance factor and select relevant media content or advertisement from a stack of advertisements to play or to continue previous advertisements which is being played.

[0011] Further objective of the invention is to provide a display which is incorporated with an hdmi connection that displays advertisements in public places.

[0012] Yet another objective of the invention is to dynamically switch the advertisements when requisite users are not interacting with advertisement.

[0013] Another objective of the invention is to increase revenue by displaying computer-vision based content matching advertisements without interrupting the contents.

[0014] Another objective of the invention is to provide a consumer friendly system that allows advertisers to optimize the views by displaying ads to the relevant customer and creates more interaction with customers.

[0015] Yet further objective of the invention is to facilitate viewers to easily find relevant stores or offers with respect to their age, gender and interactiveness.
Summary of the invention:
[0016] The disclosure proposes a dynamic out-of-home advertising system based on real-time viewers biometric information. The following presents a simplified summary in order to provide a basic understanding of some aspects of the claimed subject matter. This summary is not an extensive overview. It is not intended to identify key/critical elements or to delineate the scope of the claimed subject matter. Its sole purpose is to present some concepts in a simplified form as a prelude to the more detailed description that is presented later.

[0017] In order to overcome the above deficiencies of the prior art, the present disclosure is to solve the technical problem to provide a dynamic out-of-home advertising system and method for dynamically displaying advertisements at public locations based on interaction rate using artificial intelligence that automatically recognizes preset attributes of viewers using visual tracking, analyzes and thereby continues display of a particular advertisement or switches to a new advertisement which is relevant to the recognized viewers attributes.

[0018] According to an aspect, the disclosure proposes a dynamic out-of-home advertising system based on real-time viewers biometric information. The dynamic system for playing media content comprises of at least a visual capturing means, a computing board, a media agent interface means, a media content server, and a media content displaying means.

[0019] At least a visual capturing means is configured to capture plurality of images of viewers in public locations. Specifically, the visual capturing means is either a camera attached to the computing board or a security camera or a surveillance camera present at the target location or a combination thereof. The various attributes of viewers include biometric information such as gender, age, gaze, emotion, ethnicity and thereof.

[0020] The computing board is configured to assess various attributes of viewers continuously or periodically from the captured plurality of images while playing a media content, generate relevance factor and select relevant media content from a stack of media contents to play or to continue previous media content which is being played. Specifically, the computing board aids either to continue to play the media content or to switch to best relevant media content at public locations based on assessment carried out using artificial intelligence. The media campaign data with target metrics include media related to either facial feature based targeting or content based targeting and thereof. The media agent interface means is configured to allow media agents to upload media campaign data with target metrics labeled with respective media content along with target locations. The media agent interface means is either a web application or a dashboard or a mobile application or the like.

[0021] The media content server is configured to allocate the stack of media contents or advertisements for each of the computing board from the media campaign data uploaded that fall into the target locations. And then compute assessment of various attributes of viewers based on requirement and provide aggregate result of the media campaign to the media agent. Specifically, aggregate result of the media campaign comprises of target group’s interaction rate, average engagement time, emotional response at particular frames of media content video, audience crowd analytics, and thereof. The computing assessment of various attributes of viewers are computed using high-end hardware if the computing board fails and then transfers the data to server base to compute the relevance factor. The media content displaying means is configured to play the media content provided by the computing board. The media content displaying means plays the media content either by connecting to the existing display in public place or display provided along with the computing board.

[0022] According to another aspect of the disclosure, the dynamic method for selectively playing the media content includes the steps comprising of capturing plurality of images of viewers in public locations while playing a media content through a media content displaying means. Later, assessing various attributes of viewers continuously or periodically from the captured plurality of images by the computing board or by the media content server based on requirement. Then, calculates the relevance factor based on the assessed attributes of viewers and selects a best relevant media content from a stack of media contents to switch the current playing media content, if the calculated relevance rate is too less or else continues the current playing media content to complete, if the media content has a better relevance rate. Later, aggregate result of the media campaign is provided to the media agent.

[0023] Further objects and advantages of the present invention will be apparent from a study of the following portion of the specification, the claims, and the attached drawings.

Detailed description of drawings:
[0024] The accompanying drawings, which are incorporated in and constitute a part of the specification, illustrate an embodiment of the invention, and, together with the description, serve to explain the principles of the invention.

[0025] FIG. 1 illustrates an exemplary block diagram model of a dynamic system for playing media content in accordance to an embodiment of the invention.

[0026] FIG. 2 illustrates an exemplary dynamic method for selectively playing media content in accordance to an embodiment of the invention.

Detailed invention disclosure:
[0027] Various embodiments of the present invention will be described in reference to the accompanying drawings. Wherever possible, same or similar reference numerals are used in the drawings and the description to refer to the same or like parts or steps.

[0028] The present disclosure has been made with a view towards solving the problem with the prior art described above, and it is an object of the present invention to provide a dynamic out-of-home advertising system and method for dynamically displaying advertisements at public locations based on interaction rate using artificial intelligence that automatically recognizes preset attributes of viewers using visual tracking, analyzes and thereby continues display of a particular advertisement or switches to a new advertisement which is relevant to the recognized viewers attributes.

[0029] According to an exemplary embodiment of the disclosure, Fig. 1 refers to a block diagram of a dynamic system 100 for playing media content. The dynamic system 100 for playing media content comprises of at least a visual capturing means 101, a computing board 102, a media agent interface means 103, a media content server 104, and a media content displaying means 105.

[0030] At least a visual capturing means 101 is configured to capture plurality of images of viewers in public locations. Specifically, the visual capturing means 101 is either a camera attached to the computing board or a security camera or a surveillance camera present at the target location or a combination thereof. The various attributes of viewers include biometric information such as gender, age, gaze, emotion, ethnicity and thereof.

[0031] The computing board 102 is configured to assess various attributes of viewers continuously or periodically from the captured plurality of images while playing media content or advertisements. Then, generate relevance factor and select relevant media content from a stack of media contents to play or to continue previous media content which is being played. Specifically, the computing board 102 aids either to continue to play the media content or to switch to best relevant media content at public locations based on assessment carried out using artificial intelligence. The media campaign data with target metrics include media related to either facial feature based targeting or content based targeting and thereof.

[0032] The media agent interface means 103 is configured to allow media agents to upload media campaign data with target metrics labeled with respective media content along with target locations. The media agent interface means 103 is either a web application or a dashboard or a mobile application or the like.

[0033] The media content server 104 is configured to allocate the stack of media contents for each of the computing board 102 from the media campaign data uploaded that fall into the target locations. And then compute assessment of various attributes of viewers based on requirement and provide aggregate result of the media campaign to the media agent. Specifically, aggregate result of the media campaign comprises of target group’s interaction rate, average engagement time, emotional response at particular frames of media content video, audience crowd analytics, and thereof. The computing assessment of various attributes of viewers are computed using high-end hardware if the computing board 102 fails and then transfers the data to server base to compute the relevance factor.

[0034] The media content displaying means 105 is configured to play the media content provided by the computing board. The media content displaying means 105 plays the media content either by connecting to the existing display in public place or display provided along with the computing board.

[0035] According to an exemplary embodiment of the invention, Fig. 2 refers to a dynamic method 200 for selectively playing media content.

[0036] Firstly, in this method 200, plurality of images of viewers is captured in public locations while playing a media content through a media content displaying means at step 201. Later at step 202, assessing various attributes of viewers continuously or periodically from the captured plurality of images by the computing board or by the media content server based on requirement. Then, calculates the relevance factor based on the assessed attributes of viewers at step 203. Later at step 204, checks whether the relevance factor is less or greater than 50 percentage. Later at step 205, selects a best relevant media content from a stack of media contents to switch the current playing media content, if the calculated relevance rate is too less. Else if the media content has a better relevance rate, then continues the current playing media content to complete at step 206. Later at step 207, aggregate result of the media campaign is provided to the media agent. Specifically, these campaigning details will be aggregated and visualized to the advertiser.

[0037] Numerous advantages of the present disclosure may be apparent from the discussion above. In accordance with the present disclosure, a dynamic out-of-home advertising system and method for dynamically switching the advertisement or continuing playing of the current advertisement at public locations based on interaction rate or relevant factor computed using artificial intelligence. The system aids to automatically recognize preset attributes of viewers such as gender, age, gaze, emotion and facial features using visual tracking while playing an advertisement, analyze and thereby continue display of the particular advertisement or switches to a new advertisement which is relevant to the recognized viewers attributes.

[0038] The system aids to generate relevance factor and select relevant media content or advertisement from a stack of advertisements to play or to continue previous advertisements which is being played. The system aids to dynamically switch the advertisements when requisite users are not interacting with advertisement to thereby increase revenue by displaying computer-vision based content matching advertisements without interrupting the contents. The consumer friendly system allows the advertisers to optimize the views by displaying ads to the relevant customer and creates more interaction with customers. The system facilitates viewers to easily find relevant stores or offers with respect to their age, gender and interactiveness.

[0039] It will readily be apparent that numerous modifications and alterations can be made to the processes described in the foregoing examples without departing from the principles underlying the invention, and all such modifications and alterations are intended to be embraced by this application.